Paper Info
Title
Bostenlake wetlands water level automatic retrieval and trends analysis based on ICESatGLAS global laser point data
Abstract
A small hydrologic change occurring in the wetland can significantly affects its chemical and physical properties, such as nutrient availability, degree of substrate anoxia, soil salinity, pH, wetland biomass, animal and plant resources, fishes etc. So, timely and accurately measuring hydrologic dynamics in wetland watershed has become a fundamental need for estimating functional changes of wetland. In traditionally, water levels were mainly recorded by water gauge stations which would lead to the lack of fully covering in a specific watershed by gauge station network for the difficulty of performing measurement within large wetland, and the complexity of river and lake distribution,. In that case,, the satellite altimeter will be a good alternated technology which can complement the measurements of gauge stations, especially in large wetland areas and uninhabited areas (no data regions).It can provide an unprecedented set of global elevation measurements data. In this paper, we proposed using ICESat GLAS laser data (Ice Cloud and land Elevation Satellite, Geo-science Laser Altimeter System )to retrieve the Bosten lake wetland hydrologic characteristics. In order to demonstrate the practicability and feasibility of ICESat data, Bosten lake open water level and wetland vegetation height were computed, then the derived Bosten wetland water surface heights using ICESat data were compared with the daily in-situ water level observation data. The average absolute error between satellite derived data and gauge station observation was 0.09 meter and the correlation coefficient between these two groups was over 0.95. The results suggest that the water surface heights derived from ICESat data have a good accuracy and creditability which can be used as a supplement to detect hydrologic change occurring in un-gauged area of wetlands.
Year
DOI
Venue
2011
10.1007/978-3-642-31919-8_74
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Keywords
Field
DocType
automatic retrieval,bosten wetland water surface,bostenlake wetlands water level,wetland watershed,large wetland,wetland biomass,icesat glas laser data,wetland vegetation height,trends analysis,icesat data,data region,large wetland area,icesatglas global laser point,bosten lake wetland hydrologic
Altimeter,Satellite,Vegetation,Hydrology,Ice cloud,Wetland,Watershed,Environmental science,Elevation,Water level
Conference
Volume
Issue
ISSN
7202 LNCS
null
16113349
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Changming Zhu15814.51
Jian-Cheng Luo29920.75
Junli Li300.68
Zhanfeng Shen46812.60
Qi-ting Huang500.68